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ATAL
2003
Springer
15 years 11 months ago
Negotiation over tasks in hybrid human-agent teams for simulation-based training
The effectiveness of simulation-based training for individual tasks – such as piloting skills – is well established, but its use for team training raises challenging technical...
David R. Traum, Jeff Rickel, Jonathan Gratch, Stac...
EUROPAR
2009
Springer
15 years 10 months ago
StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures
Abstract. In the field of HPC, the current hardware trend is to design multiprocessor architectures that feature heterogeneous technologies such as specialized coprocessors (e.g., ...
Cédric Augonnet, Samuel Thibault, Raymond N...
TSP
2008
167views more  TSP 2008»
15 years 4 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
STOC
2002
ACM
123views Algorithms» more  STOC 2002»
16 years 6 months ago
Optimal rate-based scheduling on multiprocessors
The PD2 Pfair/ERfair scheduling algorithm is the most efficient known algorithm for optimally scheduling periodic tasks on multiprocessors. In this paper, we prove that PD2 is als...
Anand Srinivasan, James H. Anderson
CVPR
2008
IEEE
16 years 8 months ago
Auto-context and its application to high-level vision tasks
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
Zhuowen Tu